Resultados de investigación

PTU Cuerda del Pozo. March 2013, Peer reviewed

Wind in Cuerda del Pozo Reservoir. September 2013, Peer reviewed

Wind in Cuerda del Pozo Reservoir. October 2013, Peer reviewed

Dataset 1: this is the dataset used for the eggshell coloration analysis. The dataset presents 145 columns and 197 lines. Each line represents the data relative to a single starlin egg considered for the analysis. Column 1 is the original ID of the egg in the field noterbook. Column 2 is the individual code for each breeding attempt (i.d. every time a first egg is found in a nest). Column 3 is the nest in which each egg has been found. Col. 4 is the tratment to which the female laying the eggs has been subjected: H, handicap; C, control. Col. 5 contains the date of measurement of the eggs. Col. 6 contains the date of laying of each egg (date of April 2020). Col. 7 the clutch size of each breeding event. Cols. 8-10 the lenght (mm), widht (mm) and the calculated volume (mm3) of each egg. Please refer to the main text for more information about egg size calculation. Cols. 11-15 contain the informations about the laying female (IDs and measurements). Cols. 16 - 135 contain the repeated measurements of eggshell coloration as stored in the spectrophotometer and the relative values of brightness, BGC, hue and chroma. The x and y are used to distinguish the first from the second spectra values. Cols. 136-139 contain the values of the mean value of brightness, hue, chroma and blue-green chroma for the repeated measures (x and y). Cols. 140-142 contain the main, the standard deviation and the maximum values of BGC for each nest. Cols. 143-145 contain the main, the standard deviation and the maximum values of BGC x100. Dataset 2: this dataset contains the data of the females recorded before and after the laying. Col. 1 and 2 contain the ID of the female (ring number and chip code, respectively) Col.3 the tratment to which the female laying the eggs has been subjected: H, handicap; C, control. Col. 4 the nest in which the eggs have been laid. Cols. 5 and 6 contain the dates in which the female has been captured (before and after laying the eggs, respectively). Cols. 7 and 8 contain the day counts of the corrispective date, starting the day of the laying (April 11th). Col. 9 and 10 contain the initials of the observer of the first and second capture. Col. 11 contains the coded age of the oldest nestling: P5, chick of 5 days; P6, chick of 6 days... Cols. 12 and 13 contain the weights recorded in the first and in the second capture (pre and post laying, respectively). Cols. 14 and 15 contain the wing (mm) and the tarsus (mm) measurements of the females, recorded in the first capture., It has been proposed that blue-green egg coloration is a condition-dependent female sexual trait that may modify paternal care in a post-mating sexual selection scenario. This pattern may arise because the pigment responsible for eggshell colouration (biliverdin) may be a costly and limited resource, whose availability is linked to female health state. Thus, it can be predicted that females whose condition is compromised should be constrained in their capacity to deposit biliverdin in the eggshell, thus producing paler clutches. To test this hypothesis, we performed a handicapping experiment by clipping some feathers of female spotless starlings before egg laying and measuring the colour of their clutches. We expected the handicapping treatment to increase flying costs, impairing female overall condition and resulting in paler clutches. Our experiment was successful in lowering the weight gain of handicapped with respect to control females. However, in contrast to our expectations, we found no effect of the treatment on eggshell colouration. Eggshell colour varied along the laying order, with initial eggs of the laying sequence being relatively paler than the rest of the clutch, but this pattern was not different between experimental groups. Despite a very similar methodology, our results differ from a previous study and offers no support to the post mating sexual selected hypothesis, questioning the general applicability of the sexual selection role of eggshell coloration., Peer reviewed

We have studied the phenotypic response, at the cellular and organismal levels, of the marine calanoid copepod Paracartia grani to short- and medium-term thermal stress, This research was supported by Grant [CTM2017-84288-R] funded by MCIN/ AEI /10.13039/501100011033/ and by FEDER Una manera de hacer Europa, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Survival, body composition stoichiometry, enzymatic biomarkers, LPO levels, ingestion rates, fecal pellet production rates, egg production rates, gross-growth efficiencies, respiration rates, Peer reviewed

[EN] Contains five compressed folders (.zip): one with shapefiles (.shp; requires a specific Geographic Information System GIS software) and four data tables in plain text (.csv). One PDF file explains the dataset details., [ES] Contiene cinco carpetas comprimidas (.zip): uno con shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG) y cuatro tablas de datos en texto plano (.csv). Un archivo PDF explica el contenido del conjunto de datos., [EN] Geospatial information on the water balance components and river discharge over the Pyrenees for the period 1981-2010. The data is based on the application of two hydrological models (SWAT and SASER), forced with the PIRAGUA_atmos_analysis dataset. It includes information on the following variables: temperature, precipitation, snowfall, snowmelt, potential evapotranspiration, actual evapotranspiration, soil water storage, snowpack, aquifer recharge, runoff generation and river discharge. The temporal resolution is monthly, and the spatial aggregation is at the level of hydrographic sub-basins. The dataset was generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Información geoespacial sobre componentes del balance hídrico y caudales sobre los Pirineos para el periodo 1981-2010. Los datos se basan en la aplicación de dos modelos hidrológicos (SWAT y SASER), forzados con el conjunto de datos PIRAGUA_atmos_analysis. Incluye información sobre las siguientes variables: temperatura, precipitación, innivación, fusión nival, evapotranspiración potencial, evapotranspiración real, almacenamiendo de agua en el suelo, paquete de nieve, recarga de acuífero, generación de escorrentía y caudales. La resolución temporal es mensual, y la agregación espacial es a nivel de sub-cuencas hidrográficas. El conjunto de datos fue generado en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Information géospatiale sur les composantes du bilan hydrique et débits fluviales sur les Pyrénées pour la période 1981-2010. Les données sont basées sur l'application de deux modèles hydrologiques (SWAT et SASER), forcés avec le jeu de données PIRAGUA_atmos_analysis. Il comprend des informations sur les variables suivantes : température, précipitations, chutes de neige, fonte des neiges, évapotranspiration potentielle, évapotranspiration réelle, stockage de l'eau dans le sol, manteau neigeux, recharge de l'aquifère, génération de ruissellement et débits. La résolution temporelle est mensuelle, et l'agrégation spatiale se fait au niveau des sous-bassins hydrographiques. Le jeu de données a été généré dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set:- PIRAGUA_hydro_analysis_s-mode: Average values of the water cycle components for the period 1981-2010, at the sub-basin (water bodies catchments) spatial scale.- PIRAGUA_hydro_analysis_t-mode: Annual time series of the water cycle components at the annual or monthly scale, at the Pyrenees, basin or sub-basin spatial scales.- GIS: Arc-GIS shapefiles of the different spatial aggregation scales: Pyrenees, basins, sub-basins, and stream reaches. The id field in each shapefile allows matching the spatial units with the data files., No

[EN] Contains five compressed folders (.zip): one with shapefiles (.shp; requires a specific Geographic Information System GIS software) and four data tables in plain text (.csv). One PDF file explains the dataset details., [ES] Contiene cinco carpetas comprimidas (.zip): uno con shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG) y cuatro tablas de datos en texto plano (.csv). Un archivo PDF explica el contenido del conjunto de datos., [EN] Geospatial information on the water balance components over the Pyrenees under climate change, covering the period 1981-2100. The data is based on the application of two hydrological models (SWAT and SASER), forced with the climate projections in the PIRAGUA_atmos_climate dataset. It includes information on the following variables: temperature, precipitation, snowfall, snowmelt, potential evapotranspiration, actual evapotranspiration, soil water storage, snowpack, aquifer recharge, and runoff generation. The temporal resolution is monthly, and the spatial aggregation is at the level of hydrographic sub-basins. The dataset was generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Información geoespacial sobre componentes del balance hídrico sobre los Pirineos en condiciones de cambio climático, para el periodo 1981-2100. Los datos se basan en la aplicación de dos modelos hidrológicos (SWAT y SASER), forzados con las proyecciones climáticas del conjunto de datos PIRAGUA_atmos_climate. Incluye información sobre las siguientes variables: temperatura, precipitación, innivación, fusión nival, evapotranspiración potencial, evapotranspiración real, almacenamiendo de agua en el suelo, paquete de nieve, recarga de acuífero, y generación de escorrentía. La resolución temporal es mensual, y la agregación espacial es a nivel de sub-cuencas hidrográficas. El conjunto de datos fue generado en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Information géospatiale sur les composantes du bilan hydrique des Pyrénées dans des conditions de changement climatique, pour la période 1981-2100. Les données sont basées sur l'application de deux modèles hydrologiques (SWAT et SASER), forcés avec les projections climatiques du jeu de données PIRAGUAatmosclimate. Il comprend des informations sur les variables suivantes : température, précipitations, chutes de neige, fonte des neiges, évapotranspiration potentielle, évapotranspiration réelle, stockage de l'eau dans le sol, manteau neigeux, recharge de l'aquifère et génération de ruissellement. La résolution temporelle est mensuelle, et l'agrégation spatiale se fait au niveau des sous-bassins hydrographiques. Le jeu de données a été généré dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set:- PIRAGUA_hydro_climate_s-mode: Average values of the main water cycle components computed at different time horizons during the 21st century (short, medium and long term), together with the corresponding reference values (average over period 1981-2010), and absolute and relative change with respect to the reference period, at the sub-basin (water bodies catchments) spatial scale, for six different GCM/RCMs and two hydrological models.- PIRAGUA_hydro_climate_t-mode: Annual time series of the main water cycle components at the annual or monthly temporal scale, at the Pyrenees, basin or sub-basin spatial scales, for six different GCM/RCMs and two hydrological models.- GIS: shapefiles of the different spatial aggregation scales: Pyrenees, basins, sub-basins, and stream reaches. The id field in each shapefile allows matching the spatial units with the data files., No

Data file includes information about identity of each sampled individual, the species id, nest type, age, biometric measurements, the mean of the antagonistic halos shown against each 9 indicator bacteria, the antagonistic activity (average values of the width of antagonistic halos (mm) when tested against each of the nine indicator bacteria), the antagonistic range (Shannon index of the antagonistic activity) and the total density of bacteria on the gland., Ester Martínez Renau was financed by a predoctoral contract PRE2018-085378) while the whole research group received funds from the projects CGL2017-83103-P, PID2020-117429GB-C21 and PID2020-117429GB-C22, funded by the Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación/10.13039/501100011033 and by “Fondo Europeo de Desarrollo Regional, a way of making Europe, Peer reviewed

Los datos de estos tres excels pertenecen al trabajo Ginsbach, Laura F.; González Grau, Juan Miguel: of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures, Figure 3. Molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I)(in Å), predicted for the heterodisulfide reductase (Hdr) gene subunits, A (A, B, C), B (D, E, F) and C (G, H, I), from numerous methanogenic Archaea as a function of their optimum growth rates. Dark color filled symbols correspond to predicted protein structures; Light color filled symbols correspond to resolved model structures from the Protein Data Bank., This is funding from the Ministry of Science and Innovation, project EQC2019-005634-P (cofunded by FEDER) and PID2020-119373GB-I00., Peer reviewed

Los datos de estos tres excels pertenecen al trabajo Ginsbach, Laura F.; González Grau, Juan Miguel: of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures, Figure 2. Molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I) (in Å), predicted for the methyl-CoM reductase (Mmr) gene subunits, alpha (A, B, C), beta (D, E, F) and gamma (G, H, I), from numerous methanogenic Archaea as a function of their optimum growth rates. Dark color filled symbols correspond to predicted protein structures. Light color filled symbols correspond to resolved model structures from the Protein Data Bank., This is funding from the Ministry of Science and Innovation, project EQC2019-005634-P (cofunded by FEDER) and PID2020-119373GB-I00., Peer reviewed